S. Ferson – författare
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2 produkter
2 produkter
Häftad, Engelska, 2002
1 090 kr
Skickas inom 10-15 vardagar
Quantitative methods are needed in conservation biology more than ever as an increasing number of threatened species find their way onto international and national “red lists. ” Objective evaluation of population decline and extinction probability are required for sound decision making. Yet, as our colleague Selina Heppell points out, population viability analysis and other forms of formal risk assessment are underused in policy formation because of data uncertainty and a lack of standardized methodologies and unambiguous criteria (i. e. , “rules of thumb”). Models used in conservation biology range from those that are purely heuristic to some that are highly predictive. Model selection should be dependent on the questions being asked and the data that are available. We need to develop a toolbox of quantitative methods that can help scientists and managers with a wide range of systems and that are subject to varying levels of data uncertainty and environmental variability. The methods outlined in the following chapters represent many of the tools needed to fill that toolbox. When used in conjunction with adaptive management, they should provide information for improved monitoring, risk assessment, and evaluation of management alternatives. The first two chapters describe the application of methods for detecting trends and extinctions from sighting data. Presence/absence data are used in general linear and additive models in Chapters 3 and 4 to predict the extinction proneness of birds and to build habitat models for plants.
Inbunden, Engelska, 1993
2 173 kr
Skickas inom 10-15 vardagar
Conservation biologists and wildlife managers are constantly involved in the complex assessment of conservation problems such as the likely impact of a management action plan on rare species or those threatened with extinction. This book is a cohesive guide to the available mathematical modelling methods that can be used in population viability analysis. It is therefore extremely valuable to both the practitioner of conservation biology and the theoretical population biologist. Starting from first principles, the authors clearly explain the rationale behind the models and point out the relevant research, most of it recent, using a variety of examples from all different parts of the biosphere. The models used are stochastic models for demographic risk assessment particularly those dealing with unstructured population models, area-based models and structured, projection-matrix models. This new and growing area has been brought together by three expert conservation biologists so that conservation scientists can make and adapt their own models to aid the development of strategies to conserve species threatened with extinction.